Job Url: https://www.remoterocketship.com/company/digitalrealty/jobs/senior-ai-engineer-united-states-remote Job Description: Digital Realty Website LinkedIn All Job Openings Digital Realty brings companies and data together by delivering the full spectrum of data center, colocation and interconnection solutions. PlatformDIGITAL®, the company's global data center platform, provides customers with a secure data "meeting place". Digital Realty enables its customers with the connected data communities that matter to them with a global data center footprint of 300+ facilities in 50+ metros across 25+ countries on six continents. Data Centers • Colocation • Business Ecosystems • Cloud Services • Turn-Key Flex (TKF) 1001 - 5000 employees Senior AI Engineer 3 days ago 🤠 Texas – Remote ⏰ Full Time 🟠 Senior 🤖 AI Engineer Azure Cloud Django Flask Grafana JavaScript Next.js Prometheus Python React Apply Now Receive Emails with Similar Jobs Report problem 📋 Description • Build and maintain backend services using Azure Functions, Semantic Kernel, LangChain/LangGraph/AutoGen/CrewAI. • Develop APIs to orchestrate LLM workflows, manage state, and support chat and analytics front ends. • Implement multi-agent pipelines with planning, reasoning, and execution flows. • Design and manage RAG pipelines (chunking, embedding, indexing, hybrid retrieval) and extend retrieval with GraphRAG and entity-driven reasoning. • Build ingestion pipelines to validate, clean, and test data before adding it to the AI knowledge layer; integrate data from CosmosDB, Dataverse, APIs, Azure Cognitive Search, SharePoint, and other enterprise sources. • Create automated evaluation methods for retrieval accuracy, hallucination, and dataset quality. • Collaborate with front-end engineers to define API contracts, payloads, session flows; provide reusable backend services, SDKs, and documentation aligned with React/Next.js and shadcn frameworks. • Implement telemetry, logging, and metrics (OpenTelemetry, Prometheus, Grafana); enforce RBAC, compliance, data masking/sanitization/lineage; optimize performance, latency, and token usage with robust error handling and scalable design. 🎯 Requirements • Strong hands-on experience with Azure AI/data stack: Cognitive Search, Azure OpenAI, CosmosDB, Azure Functions, AKS, Dataverse. • Proficiency in Python and backend frameworks (FastAPI/Flask/Django). • Experience with RAG pipelines, multi-agent frameworks (LangChain, LangGraph, AutoGen, CrewAI), and Semantic Kernel. • Familiarity with vector stores (FAISS, Pinecone, Weaviate, Azure Cognitive Search). • Working knowledge of React/Next.js to support API integration with UIs. • 4+ years in backend, ML infrastructure, or cloud engineering. • 2+ years building AI/LLM-based applications, ideally in enterprise environments. • Proven experience integrating multiple enterprise data sources securely. • Background in data quality testing, validation, and continuous evaluation for AI systems. • Exposure to full-stack development with React/Next.js. • Nice-to-haves: Experience with GraphRAG, knowledge graphs, continuous LLM evaluation (DeepEval, G-Eval), end-to-end full-stack AI solutions. 🏖️ Benefits • Highly competitive compensation package • Excellent benefits • Supportive and inclusive environment • Development opportunities • Remote work